ArticleBioinformatics (Oxford, England)2021
Triplet-based similarity score for fully multilabeled trees with poly-occurring labels.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Identifying Robust Subclonal Structures through Tumor Progression Tree Alignment.bioRxiv : the preprint server for biology · 2026Article
- Bayesian inference of fitness landscapes via tree-structured branching processes.Bioinformatics (Oxford, England) · 2025Article
- Single-cell DNA sequencing reveals pervasive positive selection throughout preleukemic evolution.Cell genomics · 2025Article
- Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space.BMC bioinformatics · 2024Article
- Weighted centroid trees: a general approach to summarize phylogenies in single-labeled tumor mutation tree inference.Bioinformatics (Oxford, England) · 2024Article
- Oncotree2vec - a method for embedding and clustering of tumor mutation trees.Bioinformatics (Oxford, England) · 2024Article
- TheJournal of computational biology : a journal of computational molecular cell biology · 2024Article
- COMPASS: joint copy number and mutation phylogeny reconstruction from amplicon single-cell sequencing data.Nature communications · 2023Article
- A weighted distance-based approach for deriving consensus tumor evolutionary trees.Bioinformatics (Oxford, England) · 2023Article
- BiTSC 2: Bayesian inference of tumor clonal tree by joint analysis of single-cell SNV and CNA data.Briefings in bioinformatics · 2022Article
- The Bourque distances for mutation trees of cancers.Algorithms for molecular biology : AMB · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationThe latest advances in cancer sequencing, and the availability of a wide range of methods to infer the evolutionary history of tumors, have made it important to evaluate, reconcile and cluster different tumor phylogenies. Recently, several notions of distance or similarities have been proposed in the literature, but none of them has emerged as the golden standard. Moreover, none of the known similarity measures is able to manage mutations occurring multiple times in the tree, a circumstance often occurring in real cases.
resultsTo overcome these limitations, in this article, we propose MP3, the first similarity measure for tumor phylogenies able to effectively manage cases where multiple mutations can occur at the same time and mutations can occur multiple times. Moreover, a comparison of MP3 with other measures shows that it is able to classify correctly similar and dissimilar trees, both on simulated and on real data. AVAILABILITY AND IMPLEMENTATION: An open source implementation of MP3 is publicly available at https://github.com/AlgoLab/mp3treesim. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.